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‎_toc.yml

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- caption: FOSS ML Software
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chapters:
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- file: generatedfiles/overview
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sections:
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- file: generatedfiles/aiagentframeworks
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- file: generatedfiles/llmui
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- file: generatedfiles/mlframeworks
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- file: generatedfiles/mlresearchframeworks
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- file: generatedfiles/mlsecurityscanner
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- file: generatedfiles/mltools
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- file: generatedfiles/nlp
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- file: catalogue
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sections:
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# - file: mlframeworks -> Not needed anymore -new way for SBB overviews - and up-to-date
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- file: mlcomputervision
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- file: mltools
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- file: mlhosting
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- file: nlpframeworks
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- file: catalogue
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- file: generatedfiles/overview
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sections:
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- file: generatedfiles/aiagentframeworks
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- file: generatedfiles/hosting
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- file: generatedfiles/llm
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- file: generatedfiles/llmui
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- file: generatedfiles/mlframeworks
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- file: generatedfiles/mlresearchframeworks
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- file: generatedfiles/mlsecurityscanner
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- file: generatedfiles/mltools
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- file: generatedfiles/nlp
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- file: generatedfiles/vision
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- caption: Courses
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chapters:
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- file: mlcourses
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- file: ml-books
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- file: NLPlearningresources
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- file: LLMLearning
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- caption: About
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- file: help

‎catalogue.md

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erode boundaries beware of the CACE principle (CACE principle: Changing
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Anything Changes Everything)
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## Categories
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```{tableofcontents}
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```
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:::{note}
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Using categories makes searching simple. However there is and will never be an unified definition to manage all various Solution Building Blocks.
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:::
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* ML Frameworks: Within this category you will find mainly solutions to build applications. It contains APIs and a lot of functionality so you can focus on solving your business problem that you want to solve with AI or an LLM model.
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* ML Tools: Mainly tools that are usable when working with various development tools, models or frameworks. Most ML Tools can be used within a Framework.

‎generatedfiles/acme.md

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| License | Apache License 2.0 |
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| Programming Language | Python |
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| Created | 2020-05-01 |
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| Last update | 2025-03-26 |
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| Github Stars | 3622 |
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| Last update | 2025-03-29 |
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| Github Stars | 3623 |
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| Project Home Page | |
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| Code Repository | https://github.com/google-deepmind/acme |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/google-deepmind/acme) |

‎generatedfiles/aiagentframeworks.md

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:::{grid-item-card}
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:link: openhands
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:link-type: doc
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{octicon}`cross-reference;1em;caption-text` **OpenHands**
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{octicon}`tools;1em;caption-text` **OpenHands**
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Use and reuse the OpenHands solution
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:::{grid-item-card}
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:link: gptme
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{octicon}`file;1em;caption-text` **gptme**
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{octicon}`light-bulb;1em;caption-text` **gptme**
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^^^
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Use and reuse the gptme solution
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‎generatedfiles/aiexplainability360.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# AI Explainability 360
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## Description
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The AI Explainability 360 toolkit is an open-source library that supports interpretability and explainability of datasets and machine learning models. The AI Explainability 360 Python package includes a comprehensive set of algorithms that cover different dimensions of explanations along with proxy explainability metrics. The AI Explainability 360 toolkit supports tabular, text, images, and time series data.
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Home page for this solution: https://aix360.res.ibm.com/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | AIX360 |
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| Description | Interpretability and explainability of data and machine learning models |
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| License | Apache License 2.0 |
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| Programming Language | Python |
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| Created | 2019-07-11 |
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| Last update | 2025-03-27 |
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| Github Stars | 1674 |
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| Project Home Page | https://aix360.res.ibm.com/ |
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| Code Repository | https://github.com/Trusted-AI/AIX360 |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/Trusted-AI/AIX360) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/apacheopennlp.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# Apache OpenNLP
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```{image} https://opennlp.apache.org/img/opennlp-logo.png
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:width: 200px
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:align: center
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```
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## Description
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The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. This toolkit is written completely in Java and provides support for common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, coreference resolution, language detection and more!
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Home page for this solution: https://opennlp.apache.org/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | opennlp |
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| Description | Apache OpenNLP |
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| License | Apache License 2.0 |
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| Programming Language | Java |
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| Created | 2011-11-09 |
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| Last update | 2025-03-25 |
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| Github Stars | 1497 |
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| Project Home Page | https://opennlp.apache.org/ |
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| Code Repository | https://github.com/apache/opennlp |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/apache/opennlp) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/apachesinga.md

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| License | Apache License 2.0 |
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| Programming Language | C++ |
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| Created | 2015-04-02 |
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| Last update | 2025-03-26 |
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| Github Stars | 3404 |
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| Last update | 2025-03-29 |
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| Github Stars | 3409 |
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| Project Home Page | |
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| Code Repository | https://github.com/apache/singa |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/apache/singa) |

‎generatedfiles/apachetika.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# Apache Tika
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```{image} https://tika.apache.org/tika.png
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:width: 200px
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```
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## Description
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The Apache Tika™ toolkit detects and extracts metadata and text from over a thousand different file types (such as PPT, XLS, and PDF). All of these file types can be parsed through a single interface, making Tika useful for search engine indexing, content analysis, translation, and much more.
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Home page for this solution: https://tika.apache.org/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | tika |
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| Description | The Apache Tika toolkit detects and extracts metadata and text from over a thousand different file types (such as PPT, XLS, and PDF). |
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| License | Apache License 2.0 |
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| Programming Language | Java |
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| Created | 2009-05-21 |
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| Last update | 2025-03-29 |
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| Github Stars | 2886 |
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| Project Home Page | https://tika.apache.org/ |
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| Code Repository | https://github.com/apache/tika |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/apache/tika) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/apollo.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# Apollo
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```{image} https://github.com/ApolloAuto/apollo/raw/master/docs/02_Quick%20Start/demo_guide/images/Apollo_logo.png
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:width: 200px
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:align: center
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```
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## Description
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Apollo is a high performance, flexible architecture which accelerates the development, testing, and deployment of Autonomous Vehicles.
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Home page for this solution: https://www.apollo.auto/apollo-self-driving
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | apollo |
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| Description | An open autonomous driving platform |
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| License | Apache License 2.0 |
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| Programming Language | C++ |
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| Created | 2017-07-04 |
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| Last update | 2025-03-29 |
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| Github Stars | 25628 |
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| Project Home Page | |
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| Code Repository | https://github.com/ApolloAuto/apollo |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/ApolloAuto/apollo) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/autogluon.md

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| License | Apache License 2.0 |
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| Programming Language | Python |
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| Created | 2019-07-29 |
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| Last update | 2025-03-28 |
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| Github Stars | 8604 |
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| Last update | 2025-03-29 |
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| Github Stars | 8606 |
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| Project Home Page | https://auto.gluon.ai/ |
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| Code Repository | https://github.com/autogluon/autogluon |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/autogluon/autogluon) |

‎generatedfiles/bentoml.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# BentoML
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```{image} https://github.com/bentoml/BentoML/assets/489344/de4da660-6aeb-4e5a-bf76-b7177435444d
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:width: 200px
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:align: center
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```
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## Description
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BentoML is a Python library for building online serving systems optimized for AI apps and model inference.
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Home page for this solution: https://bentoml.com/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | BentoML |
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| Description | The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more! |
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| License | Apache License 2.0 |
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| Programming Language | Python |
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| Created | 2019-04-02 |
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| Last update | 2025-03-29 |
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| Github Stars | 7547 |
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| Project Home Page | https://bentoml.com |
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| Code Repository | https://github.com/bentoml/BentoML |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/bentoml/BentoML) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/blingfire.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# Bling Fire
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## Description
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Bling Fire Tokenizer provides state of the art performance for Natural Language text tokenization. A lightning fast Finite State machine and REgular expression manipulation library.
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Home page for this solution: https://github.com/Microsoft/BlingFire
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | BlingFire |
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| Description | A lightning fast Finite State machine and REgular expression manipulation library. |
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| License | MIT License |
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| Programming Language | C++ |
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| Created | 2019-03-13 |
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| Last update | 2025-03-27 |
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| Github Stars | 1837 |
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| Project Home Page | |
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| Code Repository | https://github.com/microsoft/BlingFire |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/microsoft/BlingFire) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/datascienceversioncontrol(dvc).md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# Data Science Version Control (DVC)
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## Description
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Data Version Control or DVC is a command line tool and VS Code Extension to help you develop reproducible machine learning projects:
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Home page for this solution: https://dvc.org/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | dvc |
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| Description | 🦉 Data Versioning and ML Experiments |
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| License | Apache License 2.0 |
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| Programming Language | Python |
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| Created | 2017-03-04 |
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| Last update | 2025-03-29 |
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| Github Stars | 14322 |
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| Project Home Page | https://dvc.org |
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| Code Repository | https://github.com/iterative/dvc |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/iterative/dvc) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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